Multi-Laboratory Hematoxylin and Eosin Staining Variance Supervised Machine Learning Dataset

We provide the generated dataset used for supervised machine learning in [1]. The data is in CSV format and contains all principal components and ground truth labels per tissue type. Tissue type codes used are; C1 for kidney, C2 for skin, and C3 for colon. 'PC' stands for the principal component. For feature extraction specifications, please see the original design in [1]. Features have been extracted independently for each tissue type.Reference:[1] Prezja, F.; Pölönen, I.; Äyrämö, S.; Ruusuvuori, P.; Kuopio, T. H&E Multi-Laboratory Staining Variance Exploration with Machine Learning. Appl. Sci. 2022, 12, 7511. https://doi.org/10.3390/app12157511

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Identifier
DOI https://doi.org/10.17632/8c5hkbwykd.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-wf-xray
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:256480
Provenance
Creator Prezja, F
Publisher Data Archiving and Networked Services (DANS)
Contributor Fabi Prezja
Publication Year 2022
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other